<h4>Tool</h4><table border="0"><tr><td valign="top"><b>Name</b></td><td valign="top">Terrain Surface Convexity</td></tr><tr><td valign="top"><b>ID</b></td><td valign="top">21</td></tr><tr><td valign="top"><b>Author</b></td><td valign="top">O.Conrad (c) 2012</td></tr><tr><td valign="top"><b>Specification</b></td><td valign="top">grid</td></tr></table><hr><h4>Description</h4>Terrain surface convexity as proposed by Iwahashi & Pike (2007) for subsequent terrain classification.

Reference:
Iwahashi, J. & Pike, R.J. (2007): Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature. Geomorphology, Vol. 86, pp. 409?40
<hr><h4>Parameters</h4><table border="1" width="100%" valign="top" cellpadding="5" rules="all"><tr><th>Name</th><th>Type</th><th>Identifier</th><th>Description</th><th>Constraints</th></tr>
<tr><th colspan="5">Input</th></tr><tr><td>Elevation </td><td>Grid (input)</td><td>DEM</td><td></td><td></td></tr><tr><th colspan="5">Output</th></tr><tr><td>Convexity</td><td>Grid (output)</td><td>CONVEXITY</td><td></td><td></td></tr><tr><th colspan="5">Options</th></tr><tr><td>Laplacian Filter Kernel</td><td>Choice</td><td>KERNEL</td><td></td><td>Available Choices:
[0] conventional four-neighbourhood
[1] conventional eight-neihbourhood
[2] eight-neihbourhood (distance based weighting)
Default: 0</td></tr><tr><td>Type</td><td>Choice</td><td>TYPE</td><td></td><td>Available Choices:
[0] convexity
[1] concavity
Default: 0</td></tr><tr><td>Flat Area Threshold</td><td>Floating point</td><td>EPSILON</td><td></td><td>Minimum: 0.000000
Default: 0.000000</td></tr><tr><td>Scale (Cells)</td><td>Integer</td><td>SCALE</td><td></td><td>Minimum: 1
Default: 10</td></tr><tr><td>Method</td><td>Choice</td><td>METHOD</td><td></td><td>Available Choices:
[0] counting cells
[1] resampling
Default: 1</td></tr><tr><td>Weighting Function</td><td>Choice</td><td>DW_WEIGHTING</td><td></td><td>Available Choices:
[0] no distance weighting
[1] inverse distance to a power
[2] exponential
[3] gaussian weighting
Default: 3</td></tr><tr><td>Inverse Distance Weighting Power</td><td>Floating point</td><td>DW_IDW_POWER</td><td></td><td>Minimum: 0.000000
Default: 1.000000</td></tr><tr><td>Inverse Distance Offset</td><td>Boolean</td><td>DW_IDW_OFFSET</td><td>Calculates weights for distance plus one, avoiding division by zero for zero distances</td><td>Default: 1</td></tr><tr><td>Gaussian and Exponential Weighting Bandwidth</td><td>Floating point</td><td>DW_BANDWIDTH</td><td></td><td>Minimum: 0.000000
Default: 0.700000</td></tr></table>